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Cyberbullying and cyberaggression are increasingly worrisome phenomena affecting people across all demographics. More than half of young social media users worldwide have been exposed to such prolonged and/or coordinated digital harassment.…

Companies and financial investors are paying increasing attention to social consciousness in developing their corporate strategies and making investment decisions to support a sustainable economy for the future. Public discussion on…

社会与信息网络 · 计算机科学 2019-09-15 Azadeh Nematzadeh , Grace Bang , Xiaomo Liu , Zhiqiang Ma

Among the topics discussed in Social Media, some lead to controversy. A number of recent studies have focused on the problem of identifying controversy in social media mostly based on the analysis of textual content or rely on global…

社会与信息网络 · 计算机科学 2017-03-16 Mauro Coletto , Kiran Garimella , Aristides Gionis , Claudio Lucchese

The rise of online aggression on social media is evolving into a major point of concern. Several machine and deep learning approaches have been proposed recently for detecting various types of aggressive behavior. However, social media are…

社会与信息网络 · 计算机科学 2020-11-10 Herodotos Herodotou , Despoina Chatzakou , Nicolas Kourtellis

Among the topics discussed on social media, some spark more heated debate than others. For example, experience suggests that major political events, such as a vote for healthcare law in the US, would spark more debate between opposing sides…

社会与信息网络 · 计算机科学 2015-12-18 Kiran Garimella , Gianmarco De Francisci Morales , Aristides Gionis , Michael Mathioudakis

Online harassment and abusive language continue to be a growing concern on social media platforms. In this study, we explore the power of group dynamics to shape the toxicity of Twitter conversations. First, we examine how the presence of…

社会与信息网络 · 计算机科学 2026-04-20 Ana Aleksandric , Mohit Singhal , Anne Groggel , Shirin Nilizadeh

The rich and dynamic information environment of social media provides researchers, policy makers, and entrepreneurs with opportunities to learn about social phenomena in a timely manner. However, using this data to understand social…

社会与信息网络 · 计算机科学 2025-03-24 Siyi Guo , Zihao He , Ashwin Rao , Eugene Jang , Yuanfeixue Nan , Fred Morstatter , Jeffrey Brantingham , Kristina Lerman

The #MeToo movement has catalyzed widespread public discourse surrounding sexual harassment and assault, empowering survivors to share their stories and holding perpetrators accountable. While the movement has had a substantial and largely…

社会与信息网络 · 计算机科学 2023-08-28 Sayak Saha Roy , Ohad Gilbar , Christina Palantza , Maxine Davis , Shirin Nilizadeh

Emotions play an important role in interpersonal interactions and social conflict, yet their function in the development of controversy and disagreement in online conversations has not been explored. To address this gap, we study…

计算与语言 · 计算机科学 2022-12-02 Kai Chen , Zihao He , Rong-Ching Chang , Jonathan May , Kristina Lerman

In recent years, offensive, abusive and hateful language, sexism, racism and other types of aggressive and cyberbullying behavior have been manifesting with increased frequency, and in many online social media platforms. In fact, past…

The rapid growth of social media in recent years has fed into some highly undesirable phenomena such as proliferation of abusive and offensive language on the Internet. Previous research suggests that such hateful content tends to come from…

计算与语言 · 计算机科学 2019-02-19 Pushkar Mishra , Marco Del Tredici , Helen Yannakoudakis , Ekaterina Shutova

The rich and dynamic information environment of social media provides researchers, policy makers, and entrepreneurs with opportunities to learn about social phenomena in a timely manner. However, using these data to understand social…

社会与信息网络 · 计算机科学 2024-01-15 Siyi Guo , Zihao He , Ashwin Rao , Fred Morstatter , Jeffrey Brantingham , Kristina Lerman

Sentiment analysis of social media data is an emerging field with vast applications in various domains. In this study, we developed a sentiment analysis model to analyze social media sentiment, especially tweets, during global conflicting…

计算与语言 · 计算机科学 2023-12-08 Ujwal Sasikumar , Ank Zaman , Abdul-Rahman Mawlood-Yunis , Prosenjit Chatterjee

During natural disasters, people often use social media platforms such as Twitter to ask for help, to provide information about the disaster situation, or to express contempt about the unfolding event or public policies and guidelines. This…

计算与语言 · 计算机科学 2023-08-17 Tiberiu Sosea , Junyi Jessy Li , Cornelia Caragea

Research shows that various social media platforms on Internet such as Twitter, Tumblr (micro-blogging websites), Facebook (a popular social networking website), YouTube (largest video sharing and hosting website), Blogs and discussion…

计算机与社会 · 计算机科学 2015-11-24 Swati Agarwal , Ashish Sureka

Social media systems allow Internet users a congenial platform to freely express their thoughts and opinions. Although this property represents incredible and unique communication opportunities, it also brings along important challenges.…

社会与信息网络 · 计算机科学 2016-03-25 Leandro Silva , Mainack Mondal , Denzil Correa , Fabricio Benevenuto , Ingmar Weber

Worldwide, a large number of people interact with each other by means of online chatting. There has been a significant rise in the number of platforms, both social and professional, such as WhatsApp, Facebook,and Twitter, which allow people…

计算机与社会 · 计算机科学 2017-12-29 Shubhankar Gupta , Nitin

Othering, the act of portraying outgroups as fundamentally different from the ingroup, often escalates into framing them as existential threats--fueling intergroup conflict and justifying exclusion and violence. These dynamics are…

社会与信息网络 · 计算机科学 2024-09-23 Patrick Gerard , William Theisen , Tim Weninger , Kristina Lerman

We study the relationship between the sentiment levels of Twitter users and the evolving network structure that the users created by @-mentioning each other. We use a large dataset of tweets to which we apply three sentiment scoring…

社会与信息网络 · 计算机科学 2016-04-13 Nathaniel Charlton , Colin Singleton , Danica Vukadinović Greetham

In Twitter, there is a rising trend in abusive behavior which often leads to incivility. This trend is affecting users mentally and as a result they tend to leave Twitter and other such social networking sites thus depleting the active user…

社会与信息网络 · 计算机科学 2018-09-05 Suman Kalyan Maity , Aishik Chakraborty , Pawan Goyal , Animesh Mukherjee
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